TY - GEN
T1 - Characteristics of Surface EMG During Gait with and Without Power Assistance
AU - Saito, Seiji
AU - Muraki, Satoshi
N1 - Funding Information:
Acknowledgements. This work was supported by JSPS KAKENHI Grant Number JP17H01454.
Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Technology that assists and extends various functions of human beings will soon be available not only to medical and welfare but also to healthy individuals. This study aimed to characterize surface electromyography (EMG) signals in response to walking assistive equipment. Ten healthy male students walked on an 8-m uphill road (5.8% incline) using an assist walker (RT.2, RT.WORKS Co., Ltd) under assist and non-assist conditions. The EMG signals were recorded from four muscles (the rectus femoris [RF], biceps femoris, tibialis anterior, and lateral gastrocnemius). During loading response and terminal stance, the percent maximum voluntary isometric contraction (%MVC) peak value for RF was achieved more quickly in the assist condition than in the non-assist condition. However, during loading response and mid-swing, the %MVC peak value of RF was significantly lower in the assist condition than in the non-assist condition. These results indicate that humans alter muscle exertion patterns in specific muscles to adapt to walking assistance; such a change in the muscle exertion pattern may be adapted for smoother walking.
AB - Technology that assists and extends various functions of human beings will soon be available not only to medical and welfare but also to healthy individuals. This study aimed to characterize surface electromyography (EMG) signals in response to walking assistive equipment. Ten healthy male students walked on an 8-m uphill road (5.8% incline) using an assist walker (RT.2, RT.WORKS Co., Ltd) under assist and non-assist conditions. The EMG signals were recorded from four muscles (the rectus femoris [RF], biceps femoris, tibialis anterior, and lateral gastrocnemius). During loading response and terminal stance, the percent maximum voluntary isometric contraction (%MVC) peak value for RF was achieved more quickly in the assist condition than in the non-assist condition. However, during loading response and mid-swing, the %MVC peak value of RF was significantly lower in the assist condition than in the non-assist condition. These results indicate that humans alter muscle exertion patterns in specific muscles to adapt to walking assistance; such a change in the muscle exertion pattern may be adapted for smoother walking.
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U2 - 10.1007/978-3-319-96089-0_80
DO - 10.1007/978-3-319-96089-0_80
M3 - Conference contribution
AN - SCOPUS:85051782766
SN - 9783319960883
T3 - Advances in Intelligent Systems and Computing
SP - 739
EP - 743
BT - Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume II
A2 - Fujita, Yushi
A2 - Bagnara, Sebastiano
A2 - Alexander, Thomas
A2 - Tartaglia, Riccardo
A2 - Albolino, Sara
PB - Springer Verlag
T2 - 20th Congress of the International Ergonomics Association, IEA 2018
Y2 - 26 August 2018 through 30 August 2018
ER -
